
A Speech Denoising Algorithm Based on Harmonic Regeneration
Author(s) -
Zengyuan Liu,
Dong Anming
Publication year - 2019
Publication title -
iop conference series earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/332/2/022042
Subject(s) - harmonics , harmonic , signal (programming language) , computer science , distortion (music) , noise (video) , harmonic analysis , noise reduction , speech enhancement , speech recognition , algorithm , reduction (mathematics) , total harmonic distortion , reservation , fundamental frequency , mathematics , acoustics , artificial intelligence , electronic engineering , engineering , telecommunications , physics , amplifier , computer network , electrical engineering , image (mathematics) , programming language , geometry , bandwidth (computing) , voltage
Single channel speech enhancement in noisy environments is studied in this paper. Traditional speech enhancement methods that based on short time spectral analysis frequently introduce harmonic distortion due to imprecise noise spectral estimation. A kind of technology which is called harmonic regeneration is used to overcome the defect of traditional speech enhancement methods, and damaged harmonics are restored. Firstly, a non-linear operation is used on the harmonic distorted signal to generate an artificial signal which contains all of harmonics of pure speech signal. Secondly, the artificial signal is used to correct the traditional noise reduction gain function, and the purpose of harmonic reservation is reached. Theoretical analysis, objective and subjective results indicate that the harmonic regeneration algorithm can improve speech quality dramatically. The computational complexity of the new algorithm is rather low, and it can be easily implemented in real time applications.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom